Add to ORKGA novel method for feature extraction has been applied to a problem of three-dimensional object recognition (Intrator and Gold, 1991). The method is related to recent statistical theory (Huber, 1985; Friedman, 1987) and is derived from a biologically motivated computational theory (Bienenstock, Cooper and Munro, 1982). Results of an initial study replicating recent psychophysical experiments (Bulthoff and Edelman 1991) demonstrated the utility of the proposed method for feature extraction. We describe further experiments designed to analyze the nature of the extracted features, and their relevance to the theory and psychophysics of object recognition
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
We discuss a variety of psychophysical experiments that explore different aspects of the problem of ...
We propose to assess the relevance of theories of synaptic modification as models of feature extract...
A novel method for feature extraction has been applied to a problem of three-dimensional object reco...
Intrator (1990) proposed a feature extraction method that is related to recent statistical theory (H...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Object recognition is one of many tasks in which the computer is still behind the human. Therefore, ...
Feature extraction is the heart of an object recognition system. In recognition problem, features ar...
The topics discussed here are network models of object recognition; a computational theory of recogn...
This paper presents a neural network based system for 3-D object recognition and localization. A new...
Abstract — Feature extraction is the key process in any pattern recognition issues. There is no exce...
by Po-Ming Wong.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical ref...
We present an object recognition architecture based on feature extraction by Gabor filter kernels an...
Recognition of three-dimensional objects is a crucial and challenging problem. This paper presents a...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
We discuss a variety of psychophysical experiments that explore different aspects of the problem of ...
We propose to assess the relevance of theories of synaptic modification as models of feature extract...
A novel method for feature extraction has been applied to a problem of three-dimensional object reco...
Intrator (1990) proposed a feature extraction method that is related to recent statistical theory (H...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Object recognition is one of many tasks in which the computer is still behind the human. Therefore, ...
Feature extraction is the heart of an object recognition system. In recognition problem, features ar...
The topics discussed here are network models of object recognition; a computational theory of recogn...
This paper presents a neural network based system for 3-D object recognition and localization. A new...
Abstract — Feature extraction is the key process in any pattern recognition issues. There is no exce...
by Po-Ming Wong.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical ref...
We present an object recognition architecture based on feature extraction by Gabor filter kernels an...
Recognition of three-dimensional objects is a crucial and challenging problem. This paper presents a...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
We discuss a variety of psychophysical experiments that explore different aspects of the problem of ...
We propose to assess the relevance of theories of synaptic modification as models of feature extract...